The prediction of small airway dimensions using computed tomography

被引:341
|
作者
Nakano, Y
Wong, JC
de Jong, PA
Buzatu, L
Nagao, T
Coxson, HO
Elliott, WM
Hogg, JC
Paré, PD
机构
[1] Univ British Columbia, St Pauls Hosp, James Hogg iCAPTURE Ctr Cardiovasc & Pulm Res, Vancouver, BC V6Z 1V6, Canada
[2] Shiga Univ Med Sci, Dept Resp Med, Otsu, Shiga 52021, Japan
[3] Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
关键词
bronchioles; bronchiolitis; chronic obstructive pulmonary disease; emphysema; small airways;
D O I
10.1164/rccm.200407-874OC
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Chronic obstructive pulmonary disease is characterized by destruction of the lung parenchyma and/or small airway narrowing. To determine whether the dimensions of relatively large airways assessed using computed tomography (CT) reflect small airway dimensions measured histologically, we assessed these variables in nonobstructed or mild to moderately obstructed patients having lobar resection for a peripheral tumor. For both CT and histology, the square root of the airway wall area (Aaw) was plotted versus lumen perimeter to estimate wall thickness. The wall area percentage was calculated as wall area/lumen area + wall area x 100. Although CT overestimated Aaw, the slopes of the relationships between the square root of Aaw and internal perimeter (Pi) measured with both techniques were related (CT slope = 0.2059 histology slope + 0.1701, R-2 = 0.32, p < 0.01). The mean wall area percentage measured by CT for airways with a Pi of greater than 0.75 cm predicted the mean dimensions of the small airways with an internal diameter of 1.27 mm (R-2 = 0.57, p < 0.01). We conclude that CT measurements of airways with a Pi of 0.75 cm or more could be used to estimate the dimensions of the small conducting airways, which are the site of airway obstruction in chronic obstructive pulmonary disease.
引用
收藏
页码:142 / 146
页数:5
相关论文
共 50 条
  • [31] CCR grade prediction using contrasted computed tomography
    Villalobos-Gollas, M.
    Leon-Vilchis, F.
    Mendez-Probst, C.
    Castillejos-Molina, R.
    EUROPEAN UROLOGY SUPPLEMENTS, 2008, 7 (03) : 164 - 164
  • [32] Prediction of Acute Coronary Syndrome Using Computed Tomography
    Motoyama, Sadako
    Sarai, Masayoshi
    Harigaya, Hiroto
    Hara, Tomonori
    Inoue, Kaori
    Naruse, Hiroyuki
    Ishi, Junnichi
    Wong, Nathan D.
    Hishida, Hitoshi
    Ozaki, Yukio
    Narula, Jagat
    CIRCULATION, 2008, 118 (18) : S846 - S846
  • [33] Prediction of Extrathyroidal Extension Using Ultrasonography and Computed Tomography
    Lee, Doh Young
    Kwon, Tack-Kyun
    Sung, Myung-Whun
    Kim, Kwang Hyun
    Hah, J. Hun
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY, 2014, 2014
  • [34] Human airway narrowing measured using high resolution computed tomography
    Okazawa, M
    Muller, N
    McNamara, AE
    Child, S
    Verburgt, L
    Pare, PD
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1996, 154 (05) : 1557 - 1562
  • [35] Prediction of Cerebrovascular Reserve Capacity by Computed Tomography Perfusion Using 320-Row Computed Tomography
    Takahashi, Satoshi
    Tanizaki, Yoshio
    Kimura, Hiroaki
    Akaji, Kazunori
    Kano, Tadashige
    Suzuki, Kentaro
    Takayama, Youhei
    Kanzawa, Takao
    Shidoh, Satoka
    Nakazawa, Masaki
    Yoshida, Kazunari
    Mihara, Ban
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2015, 24 (05): : 939 - 945
  • [36] Recent advances in airway imaging using micro-computed tomography and computed tomography for chronic obstructive pulmonary disease
    Tanabe, Naoya
    Hirai, Toyohiro
    KOREAN JOURNAL OF INTERNAL MEDICINE, 2021, 36 (06): : 1294 - 1304
  • [37] MICROSCOPIC DISEASE EXTENSION IN THREE DIMENSIONS FOR NON-SMALL-CELL LUNG CANCER: DEVELOPMENT OF A PREDICTION MODEL USING PATHOLOGY-VALIDATED POSITRON EMISSION TOMOGRAPHY AND COMPUTED TOMOGRAPHY FEATURES
    van Loon, Judith
    Siedschlag, Christian
    Stroom, Joep
    Blauwgeers, Hans
    van Suylen, Robert-Jan
    Knegjens, Joost
    Rossi, Maddalena
    van Baardwijk, Angela
    Boersma, Liesbeth
    Klomp, Houke
    Vogel, Wouter
    Burgers, Sjaak
    Gilhuijs, Kenneth
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 82 (01): : 448 - 456
  • [38] A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development
    Cui, Sijia
    Shu, Zhenyu
    Ma, Yanqing
    Lin, Yi
    Wang, Haochu
    Cao, Hanbo
    Liu, Jing
    Gong, Xiangyang
    FRONTIERS IN MEDICINE, 2022, 9
  • [39] Smokers with emphysema and small airway disease on computed tomography have lower bone density
    Pompe, Esther
    de Jong, Pim A.
    van Rikxoort, Eva M.
    Estrella, Leticia Gallardo
    de Jong, Werner U.
    Vliegenthart, Rozemarijn
    Oudkerk, Matthijs
    van der Aalst, Carlijn M.
    van Ginneken, Bram
    Lammers, Jan-Willem J.
    Hoesein, Firdaus A. A. Mohamed
    INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 2016, 11 : 1207 - 1216
  • [40] To compare volumetric dimensions of pharyngeal airway for different dentofacial skeletal patterns - Cone beam computed tomography
    Jadhav, Madhura A.
    Bhosale, Veera, I
    Jadhav, Abhijit B.
    JOURNAL OF THE INTERNATIONAL CLINICAL DENTAL RESEARCH ORGANIZATION, 2019, 11 (02) : 83 - 89